Analytics

Big Data & Analytics Heroes: John Naduvathusseril

April 8, 2014
This week's Big Data & Analytics Hero, John Naduvathusseril, chief data architect for Nielsen Company, shares how we can flip the equation so that the challenge of big data becomes more of an opportunity for actionable insights. Read More

The IBM Fellows program introduces a new member

April 7, 2014
"It’s the single biggest thing that ever happened to me. It really caught me off guard. " Mike Haydock on learning he's become a new IBM Fellow Read More

Hadoop and the big data opportunity

April 7, 2014
According to Forrester Research in their recent Hadoop Solutions Wave, “Hadoop is a solution to the problem of big data.” I have a slightly different take on this statement: "Hadoop is a solution to the opportunity of big data." Hadoop is effective for managing vast, diverse and varied data, and, when combined with data warehousing, security and visualization capabilities, Hadoop creates a modern data management strategy. Whether your business objectives are to monitor log files, understand customer sentiment, analyze click stream data or a number of other use cases, Hadoop may be the missing link in your architecture to capitalize on the opportunities presented by big data.   Read More

The CMO in the customer experience equation

April 4, 2014
Donovan Neale-May, executive director of the CMO Council, said: “There is no point in wasting marketing resources on seducing customers with offers, incentives and captivating branding if there is a big disconnect on the product, business policy or service experience side.” How do marketers minimize this disconnect? Should CMOs drive customer experience initiatives? join our next #CXO twitter chat to discuss. Read More

IBM big data roundtable: The transformative power of big data

April 4, 2014
On Thursday, April 3, I had the pleasure of moderating a video-streaming web roundtable in which panelists discussed the transformational applications of big data analytics. The panel included big data solution providers and experts, and we discussed everything from big data applications and platforms to trends, drivers, best practices and cultural shifts. Read More

Rules of thumb for identifying and prioritizing big data applications

March 27, 2014
It would be nice to have a crisp algorithm to pick and choose among potential big-data applications. But there isn't one. Read More

Countering fraud with big data and analytics

March 25, 2014
A standing room only crowd of invited guests converged at the New York Palace hotel on Thursday to listen to experts from government, insurance, healthcare and banking talk about one thing: countering fraud. Read More

Analytics and Hadoop: Friends or foes?

March 24, 2014
For many, Hadoop is synonymous with big data and its Vs, often closely linked to analytics. Businesses are then trying to understand what solution is best for them. Is it Hadoop,analytics, both? In our next #BigDataMgmt Twitter chat, March 26th 12 ET we will discuss how Hadoop and analytics play together.  Read More

Countering fraud: How IBM's new initiative uses big data and analytics

March 20, 2014
Criminal activity is rampant, and the brash sophistication of recent attacks—as well as the magnitude of damage— is making fraud a top priority. Consumers are concerned about their privacy and security., government agencies are working out how to address the volume of improper payments and claims and businesses are wrestling with financial losses as well as lasting brand damag Read More

IBV study on analytics, part 14: Driving change with analytics as a core competency

March 18, 2014
This is part 14 of our series on the findings and text from the IBM Institute for Business Value’s latest study and paper “Analytics: A blueprint for value - Converting big data and analytics insights into results” from my colleagues Fred Balboni, Glenn Finch, Read More

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